PLAYERINTELLIGENCE
A position-aware football analytics interface for exploring, profiling and comparing attacking players.
- Format
- Interactive web product
- Season
- 2024–2025
- Data
- Kaggle / FBref
01 / OVERVIEW
Data needs context before it can support judgment.
Player Intelligence turns a broad attacking-player dataset into a consistent coaching review. The interface keeps the evidence visible, while leaving the final football decision with the person reading it.
02 / THE FRAMEWORK
Five dimensions.
One shared language.
Every eligible attacker is organized around the same position-aware frame. Peer percentiles keep the scale consistent, while coaching dimensions make the first read direct and legible.
- 011v1 Ability
- 02Ball Progression
- 03Chance Creation
- 04Goal Threat
- 05Defensive Contribution
03 / PLAYER PROFILE
From a profile
to its evidence.
Context comes first: club, league, nation, age, position and minutes. The five-dimension profile follows, then the per-90 measures behind each score—so every headline number has somewhere deeper to go.
04 / COMPARISON
Differences,
not winners.
Two players sit on the same five-dimension frame. Percentile-point differences show where their profiles diverge, while concise summaries call out the largest and closest gaps without turning the screen into a verdict.
Keep the comparison neutral. Make the evidence easy to inspect. Leave the decision to the coach or scout.
05 / THE GUARDRAIL
EVIDENCE,NOT A VERDICT.
Player Intelligence presents statistical evidence for coaching review. It does not make final coaching or scouting decisions.
DATA: FOOTBALL PLAYERS STATS 2024–2025 / KAGGLE, FROM FBREF